 Vocabulary, Controlled
"Vocabulary, Controlled" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A specified list of terms with a fixed and unalterable meaning, and from which a selection is made when CATALOGING; ABSTRACTING AND INDEXING; or searching BOOKS; JOURNALS AS TOPIC; and other documents. The control is intended to avoid the scattering of related subjects under different headings (SUBJECT HEADINGS). The list may be altered or extended only by the publisher or issuing agency. (From Harrod's Librarians' Glossary, 7th ed, p163)
| Descriptor ID |
D018875
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| MeSH Number(s) |
L01.453.245.945
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| Concept/Terms |
Vocabulary, Controlled- Vocabulary, Controlled
- Controlled Vocabulary
- Controlled Vocabularies
- Vocabularies, Controlled
Controlled Thesaurus- Controlled Thesaurus
- Controlled Thesauri
- Thesauri, Controlled
- Thesaurus, Controlled
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Below are MeSH descriptors whose meaning is more general than "Vocabulary, Controlled".
Below are MeSH descriptors whose meaning is more specific than "Vocabulary, Controlled".
This graph shows the total number of publications written about "Vocabulary, Controlled" by people in UAMS Profiles by year, and whether "Vocabulary, Controlled" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2020 | 1 | 0 | 1 | | 2019 | 2 | 0 | 2 | | 2018 | 1 | 1 | 2 | | 2017 | 1 | 1 | 2 | | 2014 | 0 | 1 | 1 | | 2013 | 0 | 1 | 1 | | 2011 | 0 | 1 | 1 | | 2010 | 0 | 4 | 4 | | 2005 | 1 | 0 | 1 | | 2001 | 2 | 0 | 2 |
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Below are the most recent publications written about "Vocabulary, Controlled" by people in Profiles over the past ten years.
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Rizvi RF, Vasilakes J, Adam TJ, Melton GB, Bishop JR, Bian J, Tao C, Zhang R. iDISK: the integrated DIetary Supplements Knowledge base. J Am Med Inform Assoc. 2020 04 01; 27(4):539-548.
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Bona JP, Brochhausen M, Hogan WR. Enhancing the drug ontology with semantically-rich representations of National Drug Codes and RxNorm unique concept identifiers. BMC Bioinformatics. 2019 Dec 23; 20(Suppl 21):708.
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Denaxas S, Gonzalez-Izquierdo A, Direk K, Fitzpatrick NK, Fatemifar G, Banerjee A, Dobson RJB, Howe LJ, Kuan V, Lumbers RT, Pasea L, Patel RS, Shah AD, Hingorani AD, Sudlow C, Hemingway H. UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. J Am Med Inform Assoc. 2019 12 01; 26(12):1545-1559.
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Utecht J, Ball J, Bowman SM, Dodd J, Judkins J, Maxson RT, Nabaweesi R, Pradhan R, Sanddal ND, Winchell RJ, Brochhausen M. Development and Validation of a Controlled Vocabulary: An OWL Representation of Organizational Structures of Trauma Centers and Trauma Systems. Stud Health Technol Inform. 2019 Aug 21; 264:403-407.
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Zhang H, He Z, He X, Guo Y, Nelson DR, Modave F, Wu Y, Hogan W, Prosperi M, Bian J. Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials. AMIA Annu Symp Proc. 2018; 2018:1601-1610.
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Zhang H, Guo Y, Li Q, George TJ, Shenkman E, Modave F, Bian J. An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival. BMC Med Inform Decis Mak. 2018 07 23; 18(Suppl 2):41.
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He Z, Chen Z, Oh S, Hou J, Bian J. Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach. J Biomed Inform. 2017 05; 69:75-85.
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Ceusters W, Bona JP. Analyzing SNOMED CT's Historical Data: Pitfalls and Possibilities. AMIA Annu Symp Proc. 2016; 2016:361-370.
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